Technical Paper
Research on Garbage Recognition of Road Cleaning Vehicle Based on Improved YOLOv5 Algorithm
2024-04-09
2024-01-2003
As a key tool to maintain urban cleanliness and improve the road environment, road cleaning vehicles play an important role in improving the quality of life of residents. However, the traditional road cleaning vehicle requires the driver to monitor the road garbage situation at all times and manually control the cleaning process, resulting in an increase in the driver's work intensity. To solve this problem, this paper proposes a garbage recognition algorithm based on improved YOLOv5, which aims to reduce labor consumption and improve the efficiency of road cleaning.Firstly, the lightweight network MobileNet-V3 is used to replace the backbone feature extraction network of the YOLOv5 model. The parameter quantity and computational complexity of the model are greatly reduced by replacing the standard convolution with the depthwise separable convolution, and enabled the model to maintain higher accuracy while having faster reasoning speed.